vnmabus / dcor

Related projects: ⓘ

• GAA-UAM / scikit-fda
  Functional Data Analysis Python package
  ☆298Updated 2 weeks ago
• pafoster / pyitlib
  A library of information-theoretic methods for data analysis and machine learning, implemented in Python and NumPy.
  ☆90Updated 10 months ago
• yngvem / group-lasso
  Group Lasso implementation following the scikit-learn API
  ☆105Updated 3 months ago
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆282Updated 2 months ago
• pymc-learn / pymc-learn
  pymc-learn: Practical probabilistic machine learning in Python
  ☆222Updated 3 years ago
• jmschrei / torchegranate
  A temporary repository hosting a pomegranate re-write using PyTorch as the backend.
  ☆71Updated last year
• mathurinm / celer
  Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.
  ☆199Updated last month
• skggm / skggm
  Scikit-learn compatible estimation of general graphical models
  ☆240Updated 5 months ago
• brendanhasz / probflow
  A Python package for building Bayesian models with TensorFlow or PyTorch
  ☆170Updated 2 years ago
• scikit-learn-contrib / scikit-learn-extra
  scikit-learn contrib estimators
  ☆185Updated 2 weeks ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆141Updated 10 months ago
• microprediction / humpday
  Elo ratings for global black box derivative-free optimizers
  ☆130Updated 7 months ago
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆62Updated this week
• jdtuck / fdasrsf_python
  elastic fda python code
  ☆52Updated 2 weeks ago
• sktime / skpro
  A unified framework for tabular probabilistic regression and probability distributions in python
  ☆231Updated this week
• MIDASverse / MIDASpy
  Python package for missing-data imputation with deep learning
  ☆125Updated 2 weeks ago
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆156Updated last month
• minepy / minepy
  minepy - Maximal Information-based Nonparametric Exploration
  ☆213Updated 3 months ago
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆64Updated last year
• janezd / baycomp
  ☆68Updated 4 months ago
• pymc-devs / sunode
  Solve ODEs fast, with support for PyMC
  ☆105Updated 4 months ago
• minepy / mictools
  A practical tool for Maximal Information Coefficient (MIC) analysis
  ☆124Updated 6 months ago
• StevenGolovkine / FDApy
  Python Package for Functional Data Analysis
  ☆41Updated 2 weeks ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆76Updated 3 months ago
• partofthething / ace
  Python package for performing the Alternating Conditional Expectation (ACE) regression
  ☆67Updated last year
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆75Updated 4 years ago
• lee-group-cmu / FlexCode
  Implementation of Flexible Conditional Density Estimator
  ☆20Updated last year
• Quantco / glum
  High performance Python GLMs with all the features!
  ☆299Updated this week
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆219Updated 8 months ago
• cgevans / scikits-bootstrap
  Python/numpy bootstrap confidence interval estimation.
  ☆174Updated 7 months ago